Factors predictive of Ponseti casting for treating clubfoot: analysis of Bayesian Poisson regression model.

OBJECTIVE: Clubfoot is a growing public health concern in Bangladesh, with the incidence of approximately 0.64 to 6.8 in every 1000 live births. For over a decade, Ponseti method has been considered a gold standard for treating the clubfoot. Despite few studies have been estimating the number of casts required to correct the clubfoot deformities by Ponseti method, the subject of interest has always remained. Therefore, this current study aimed to investigate the significant predictive factors for the number of casts required to correct congenital clubfoot. PATIENTS AND METHODS: In this retrospective cohort study, we used Bayesian Poisson Regression Model to investigate the influencing factors that could predict how many casts are needed to correct the clubfoot. We included 69 patients with 99 affected feet, who completed their corrective phase of treatment in the Ponseti method. For this cohort study, we integrated only pre-tenotomy casting data with no age restrictions. We used Bayesian Poisson regression analysis technique to estimate the predictive factors. RESULTS: In Bayesian Poisson model, age was the most influencing predictive factor (24.3%) for increasing the number of castings to correct the clubfoot deformity. The clubfoot offspring of the ≤1-year-old was positive, and the incidence rate increased significantly with the casting number. The number of Ponseti casts in male clubfoot children was 28% higher than in female, and this was marginally statistically significant. There was no marked change estimated in the pattern of clubfoot, foot involvement and Pirani score of the severity. CONCLUSIONS: We concluded that the age factor may influence the number of casts required for the correction of clubfoot and specifically ≤ 1-year-old children are highly impacted. Treating clubfoot at an early age is suggested in this study to increase the success of clubfoot treatment and decrease the risk of relapse.

Socio-economic inequalities in secondhand smoke exposure at home in the context of mother-child pairs in Bangladesh.

OBJECTIVES: This study aimed to examine socio-economic disparities in mother-child pairs' self-reported and cotinine-measured secondhand smoke (SHS) exposure at home. STUDY DESIGN: This is a cross-sectional study. METHODS: This study was conducted in the Rajshahi district of Bangladesh from May to July 2017. A total of 541 mother-child pairs were interviewed for self-reported measured SHS; cotinine-measured saliva test was performed on 263 mothers and 236 children. Mother-child pairs' SHS exposure at home was the outcome of interest. RESULTS: Overall self-reported prevalence of SHS exposure at home was 49.0%. Self-reported SHS exposure among mothers (50.2%) and children (51.3%) were lower than the prevalence rate of cotinine-measured exposure for mothers (60.5%) and their children (58.9%). Maternal rich bands of wealth were found to be associated with lower likelihood of self-reported (adjusted odds ratio [AOR] = 0.59, 95% confidence interval [CI] = 0.35-0.99) and cotinine-measured SHS exposure among mothers (AOR = 0.17, 95% CI = 0.08-0.37). Maternal rich bands of wealth were also found to be associated with lower likelihood of cotinine-measured SHS exposure among children (AOR = 0.11, 95% CI = 0.07-0.26). CONCLUSIONS: Socio-economic inequalities exist in exposure to SHS at home. Interventional approaches aimed at reducing SHS at home are urgently needed at public health and healthcare service level, with special focus given to the socioeconomically disadvantaged groups.